Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Genome-wide association study of anti-Müllerian hormone levels in pre-menopausal women of late reproductive age and relationship with genetic determinants of reproductive lifespan

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Anti-Müllerian hormone (AMH) is required for sexual differentiation in the fetus, and in adult females AMH is produced by growing ovarian follicles. Consequently, AMH levels are correlated with ovarian reserve, declining towards menopause when the oocyte pool is exhausted. A previous genome-wide association study identified three genetic variants in and around the AMH gene that explained 25% of variation in AMH levels in adolescent males but did not identify any genetic associations reaching genome-wide significance in adolescent females. To explore the role of genetic variation in determining AMH levels in women of late reproductive age, we carried out a genome-wide meta-analysis in 3344 pre-menopausal women from five cohorts (median age 44–48 years at blood draw). A single genetic variant, rs16991615, previously associated with age at menopause, reached genome-wide significance at P = 3.48 × 10 −10, with a per allele difference in age-adjusted inverse normal AMH of 0.26 standard deviations (SD) (95% confidence interval (CI) [0.18,0.34]). We investigated whether genetic determinants of female reproductive lifespan were more generally associated with pre-menopausal AMH levels. Genetically-predicted age at menarche had no robust association but genetically-predicted age at menopause was associated with lower AMH levels by 0.18 SD (95% CI [0.14,0.21]) in age-adjusted inverse normal AMH per one-year earlier age at menopause. Our findings provide genetic support for the well-established use of AMH as a marker of ovarian reserve.

          Related collections

          Author and article information

          Journal
          Hum Mol Genet
          Hum. Mol. Genet
          hmg
          Human Molecular Genetics
          Oxford University Press
          0964-6906
          1460-2083
          15 April 2019
          14 January 2019
          15 April 2020
          : 28
          : 8
          : 1392-1401
          Affiliations
          [1 ]Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
          [2 ]MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
          [3 ]Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
          [4 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
          [5 ]Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
          [6 ]Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
          [7 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
          [8 ]Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
          [9 ]Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
          [10 ]Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
          [11 ]Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
          [12 ]National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
          [13 ]Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
          Author notes
          To whom correspondence should be addressed at: Genetics of Complex Traits, University of Exeter Medical School, RILD Level 3, Royal Devon & Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK. Tel: +44 (0)1392408257; Email: A.Murray@ 123456exeter.ac.uk
          Author information
          http://orcid.org/0000-0003-4966-9170
          Article
          PMC6452199 PMC6452199 6452199 ddz015
          10.1093/hmg/ddz015
          6452199
          30649302
          ba16ee60-281b-4472-99bf-32c2660629f0
          © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

          This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

          History
          : 29 October 2018
          : 8 January 2019
          : 10 January 2019
          Page count
          Pages: 10
          Funding
          Funded by: NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol
          Funded by: Wellcome Trust 10.13039/100010269
          Award ID: WT092830/Z/10
          Award ID: WT088806
          Award ID: 102215/2/13/2
          Funded by: US National Cancer Institute
          Award ID: CA178949
          Award ID: CA178949
          Award ID: CA67262
          Award ID: CA49449
          Award ID: CA176726
          Award ID: CA186107
          Funded by: University of Bristol 10.13039/501100000883
          Funded by: UK National Health Service
          Funded by: UK Medical Research Council
          Award ID: MR/P014054/1
          Award ID: MC_UU_00011/6
          Award ID: 102215/2/13/2, G1001357
          Funded by: The Institute of Cancer Research
          Funded by: Roche Diagnostics
          Funded by: National Institute of Health Research
          Award ID: NF-SI-0611-10196
          Funded by: Gillings Family Foundation
          Funded by: British Heart Foundation 10.13039/501100000274
          Award ID: SP/07/008/24066
          Funded by: Breast Cancer Now 10.13039/100009794
          Categories
          Association Studies Article

          Comments

          Comment on this article

          scite_
          0
          0
          0
          0
          Smart Citations
          0
          0
          0
          0
          Citing PublicationsSupportingMentioningContrasting
          View Citations

          See how this article has been cited at scite.ai

          scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

          Similar content477

          Cited by17